Abstract: Geospatial use cases involve data with a geospatial and a temporal dimension. Machine learning is applied to such use cases for tasks such as prediction and classification. However, machine ...

In the Chicago Urban Heritage Project, College students are turning century-old insurance atlases into interactive digital ...

Spatial Snippets is our weekly round-up of all the bits and pieces of geospatial news that didn’t make it into our normal daily coverage. If you have a Spatial Snippet to share with our readers , ...

ST’s VL53L5CX is a very small 8×8 grid ranging sensor that can perform distance measurements at a distance of up to 4 meters. In a recent video,[Henrique Ferrolho] demonstrated that ...

A professional Python library for PlanetScope satellite imagery analysis, providing comprehensive tools for scene discovery, metadata analysis, spatial-temporal density calculations, asset management, ...

Goal: Participants will leave the workshop series with a strong foundation in geospatial data processing using Python, practical skills in both ArcPy and GeoPandas, and the ability to choose the right ...

Examples of AI-detected infrastructure and housing changes from Vantor’s change detection pilot in Reynosa, Mexico, conducted prior to the Luno B award. Credit: Vantor WASHINGTON — Vantor, a ...